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Data Engineering – Hadoop

TeamPlus · teamplusindia.in
BengaluruSenior8+ yrs
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The job in short

Hadoop data engineering.

PythonScalaSQLHadoopAWSWarehouse

Details

Found
7 d ago · posted 2026-10-28
Location
Bangalore

Full description

Experience: 8+ Years Industry: Fintech / Financial Services Notice Period: Immediate to 30 Days Job Summary We are looking for an experienced Data Engineering Manager with strong hands-on expertise in Big Data, Data Warehousing, Distributed Data Architecture, Python/Scala, SQL, Hadoop, and AWS. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data warehouses, data marts, and large-scale data processing systems. Mandatory Technical Skills • Python / Scala: Strong hands-on development experience with production-grade data engineering systems. • SQL & Data Warehousing: Advanced SQL, data modelling, query optimization, and large-scale data warehouse design. • Hadoop Ecosystem: Strong understanding of Hadoop architecture, HDFS, YARN, and MapReduce. • AWS Cloud: Hands-on experience designing and developing data pipelines using AWS services. • Big Data & Distributed Systems: Experience with high-volume data processing, distributed architecture, and performance optimization. • ETL / Data Pipelines: Strong experience building scalable ETL/ELT pipelines, data marts, and data frameworks. • API Development: Hands-on experience in API development, publishing, and integration. • Data Processing: Experience handling structured, unstructured, and streaming datasets. • Performance Tuning: Experience identifying and resolving production performance bottlenecks. • Leadership & Communication: Ability to collaborate with global engineering teams, guide developers, and manage multiple projects.

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